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Record W4376630432 · doi:10.2196/43129

The Teach-ABI Professional Development Module for Educators About Pediatric Acquired Brain Injury: Mixed Method Usability Study

2023· article· en· W4376630432 on OpenAlexafffundvenueabout
Lauren Saly, Christine Provvidenza, Hiba Al-Hakeem, Andrea Hickling, Sara Stevens, Lisa Kakonge, Anne Hunt, Sheila Bennett, Rhonda Martinussen, Shannon E. Scratch

Bibliographic record

VenueJMIR Human Factors · 2023
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsBrock UniversityToronto Rehabilitation InstituteMcMaster UniversityUniversity of TorontoHolland Bloorview Kids Rehabilitation Hospital
FundersSocial Sciences and Humanities Research Council of CanadaBloorview Research Institute
KeywordsUsabilityAcquired brain injuryPsychologyFeelingMedical educationProfessional developmentApplied psychologyMathematics educationPedagogyMedicineRehabilitationComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Acquired brain injury (ABI) is a leading cause of death and disability in children and can lead to lasting cognitive, physical, and psychosocial outcomes that affect school performance. Students with an ABI experience challenges returning to school due in part to lack of educator support and ABI awareness. A lack of knowledge and training contribute to educators feeling unprepared to support students with ABI. Teach-ABI, an online professional development module, was created to enhance educators' ABI knowledge and awareness to best support students. Using a case-based approach, Teach-ABI explains what an ABI is, identifies challenges for students with ABI in the classroom, discusses the importance of an individualized approach to supporting students with ABI, and describes how to support a student with an ABI in the classroom. OBJECTIVE: This study aims to assess the usability of and satisfaction with Teach-ABI by elementary school educators. The following questions were explored: (1) Can elementary school teachers use and navigate Teach-ABI?, (2) Are the content and features of Teach-ABI satisfactory?, and (3) What modifications are needed to improve Teach-ABI? METHODS: Elementary school educators currently employed or in training to be employed in Ontario elementary schools were recruited. Using Zoom, individual online meetings with a research team member were held, where educators actively reviewed Teach-ABI. Module usability was evaluated through qualitative analysis of think-aloud data and semistructured interviews, direct observation, user success rate during task completion, and the System Usability Scale (SUS) scores. The usability benchmark selected was 70% of participants performing more than half of module tasks independently. RESULTS: A total of 8 female educators participated in the study. Educators were classroom (n=7) and preservice (n=1) teachers from public (n=7) and private (n=1) school boards. In terms of task performance, more than 85% of participants (ie, 7/8) independently completed 10 out of 11 tasks and 100% of participants independently completed 7 out of 11 tasks, demonstrating achievement of the module usability goal. The average overall SUS score was 86.25, suggesting a high satisfaction level with the perceived usability of Teach-ABI. Overall, participants found Teach-ABI content valuable, useful, and aligned with the realities of their profession. Participants appreciated the visual design, organization, and varying use of education strategies within Teach-ABI. Opportunities for enhancement included broadening content case examples of students with ABI and enhancing the accessibility of the content. CONCLUSIONS: Validated usability measures combined with qualitative methodology revealed educators' high level of satisfaction with the design, content, and navigation of Teach-ABI. Educators engaged with the module as active participants in knowledge construction, as they reflected, questioned, and connected content to their experiences and knowledge. This study established strong usability and satisfaction with Teach-ABI and demonstrated the importance of usability testing in building online professional development modules.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.116
GPT teacher head0.464
Teacher spread0.348 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2023
Admission routes4
Has abstractyes

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